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- W2022188810 abstract "Genomic‐based diagnostics can play a key role in creating a more efficient healthcare system by directing patients toward beneficial therapies and away from therapies that pose substantial risk or are unlikely to improve outcomes for the patient. We outline how the value provided by diagnostics is closely linked to a range of factors including magnitude of health outcome improvement, avoiding adverse effect, diagnostic parameters, process of care, resource utilization, and costs. Comparative effectiveness approaches to evidence generation, including health outcome measurements, quality of life, economic analyses, decision modeling, and pragmatic clinical trials, can be used to provide stakeholders with a range of information to inform treatment, guidelines, coverage, and reimbursement decisions. Evidence of comparative effectiveness can also help support value‐based reimbursement of cancer biomarkers and treatment strategies as means of paying for personalized medicine." @default.
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- W2022188810 date "2012-03-06" @default.
- W2022188810 modified "2023-10-02" @default.
- W2022188810 title "Paying for personalized care: Cancer biomarkers and comparative effectiveness" @default.
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- W2022188810 doi "https://doi.org/10.1016/j.molonc.2012.02.006" @default.
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